An Intelligent Classifier for Breast Cancer Diagnosis based on K-Means Clustering and Rough Set
نویسندگان
چکیده
منابع مشابه
Persistent K-Means: Stable Data Clustering Algorithm Based on K-Means Algorithm
Identifying clusters or clustering is an important aspect of data analysis. It is the task of grouping a set of objects in such a way those objects in the same group/cluster are more similar in some sense or another. It is a main task of exploratory data mining, and a common technique for statistical data analysis This paper proposed an improved version of K-Means algorithm, namely Persistent K...
متن کاملIntelligent Pearl Disease Diagnosis Based on Rough Set - Neural Network
In view of large amount of monitoring data for Pearl disease, complexity of network structure of the traditional diagnostic neural network method, validity of disease data issues and slow training, this paper introduces the rough set theory to intelligent Pearl disease diagnosis. A method for disease diagnostics is proposed based on rough set neural network. The rough set is used to remove the ...
متن کاملAn Innovative Algorithm for Feature Selecton Based on Rough Set with Fuzzy C-means Clustering
Feature selection is a fundamental problem in data mining, especially for high level dimensional datasets. Feature selection is a process commonly used in machine learning, wherein subsets of the features from the original set of features are selected for application of a learning algorithm. The best subset contains the minimum number of dimensions retaining a suitably high accuracy on classifi...
متن کاملClustering with Intelligent Linexk-Means
The intelligent LINEX k-means clustering is a generalization of the k-means clustering so that the number of clusters and their related centroid can be determined while the LINEX loss function is considered as the dissimilarity measure. Therefore, the selection of the centers in each cluster is not randomly. Choosing the LINEX dissimilarity measure helps the researcher to overestimate or undere...
متن کاملCluster Analysis Using Rough Clustering and k-Means Clustering
IntroductIon Cluster analysis is a fundamental data reduction technique used in the physical and social sciences. It is of potential interest to managers in Information Science, as it can be used to identify user needs though segmenting users such as Web site visitors. In addition, the theory of Rough sets is the subject of intense interest in computational intelligence research. The extension ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2014
ISSN: 0975-8887
DOI: 10.5120/14889-3336